Reed.co.uk Jobs Feed — UK Job Listings with Salary & Contact

What does Reed.co.uk Jobs Feed do?

Reed.co.uk Jobs Feed extracts structured job data from reed.co.uk — including salary data, company metadata, full descriptions, and remote-work indicators. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

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Key features

• ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Reed jobs" pings to your hiring channel.
• 👤 Recruiter-spam filter — drop listings from 3rd-party recruitment agencies and surface only direct-employer postings — toggle postedBy (or removeAgency on boards that flag agencies post-hoc) to cut the agency noise.
• 📋 Detail enrichment — two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration.
• 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📌 Change classification — each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired. Repost detection flags previously-expired listings that come back.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
• 📧 Email + phone extraction — every record carries extractedEmails[] and extractedPhones[] regex-pulled from the description — direct-outreach lists with no extra processing step.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] and structured socialProfiles { linkedin, twitter, github, … } parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line.

What data can you extract from reed.co.uk?

Each result includes Core listing fields (jobId, reedJobId, title, location, salaryMin, salaryMax, salaryMinYearly, and salaryMaxYearly, and more), detail fields when enrichment is enabled (description and descriptionHtml), and company metadata (company, employerId, employerProfileId, and employerProfileUrl). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords (e.g. 'software engineer', 'nurse', 'marketing manager').
• searchQueries — Optional list of additional search keywords. The first one is used if 🔍 Search Term(s) is empty.
• jobIds — Fetch specific Reed job IDs directly — bypasses search. Accepts numbers or numeric strings (e.g. [56865105]).
• startUrls — Paste Reed search URLs or job-detail URLs to scrape. Search URLs derive the keywords/location; detail URLs are fetched directly.
• location — City, region, or postcode (e.g. 'London', 'Manchester', 'EC2R').
• distanceFromLocation — Radius from the search location in miles (Reed default is 10). Increase to widen the search area.
• maxResults — Maximum total results to return (0 = unlimited). (default: 25)
• jobType — Filter by contract type.
• workType — Filter by working-hours pattern. full-time returns roles advertised as full-time hours; part-time returns roles with reduced or flexible hours. Leave blank to include both.
• postedBy — Filter by recruiter type.
• salaryFrom — Filter: minimum salary (annual £).
• salaryTo — Filter: maximum salary (annual £).
• ...and 25 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "software engineer",
  "maxResults": 50
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "query": "software engineer",
  "jobType": "permanent",
  "workType": "full-time",
  "maxResults": 100
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "software engineer",
  "jobType": "permanent",
  "workType": "full-time",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "reed-56448344",
  "reedJobId": 56448344,
  "title": "Software Engineer",
  "company": "Vermillion Analytics",
  "employerId": 676874,
  "employerProfileId": null,
  "employerProfileUrl": null,
  "location": "London",
  "salaryMin": 45000,
  "salaryMax": 65000,
  "salaryMinYearly": 45000,
  "salaryMaxYearly": 65000,
  "currency": "GBP",
  "salaryPeriod": "per annum",
  "salaryText": "£45,000 - £65,000 per per annum",
  "employmentType": "Full-time",
  "contractType": "Permanent",
  "isRemote": null,
  "description": " <p><strong>Software Engineer | Hybrid/Remote | UK | 45-65k</strong></p> <p><strong>The Sunday Times Best Places to Work. Plus FT Award!</strong></p> <p>This isn't your typical &quot;we're changing th...",
  "descriptionHtml": " <p><strong>Software Engineer | Hybrid/Remote | UK | 45-65k</strong></p> <p><strong>The Sunday Times Best Places to Work. Plus FT Award!</strong></p> <p>This isn't your typical &quot;we're changing th...",
  "url": "https://www.reed.co.uk/jobs/software-engineer/56448344",
  "externalUrl": null,
  "applicationCount": 286,
  "datePosted": "2026-09-02T00:00:00.000Z",
  "expirationDate": null,
  "portalUrl": "https://www.reed.co.uk",
  "scrapedAt": "2026-03-23T06:10:05.804Z",
  "source": "reed.co.uk"
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape reed.co.uk

1. Go to Reed.co.uk Jobs Feed in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from reed.co.uk for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape reed.co.uk?

Reed.co.uk Jobs Feed uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1.01

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.21	$0.02	$0.19 (90%)	$0.60
15% — moderate broad query	$0.21	$0.04	$0.17 (81%)	$1.20
30% — high-volume aggregator	$0.21	$0.07	$0.14 (67%)	$2.10

Full re-scrape monthly cost at daily polling: $6.30. First month with incremental costs $0.79 / $1.37 / $2.24 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from reed.co.uk?

The number of results depends on the search query and available listings on reed.co.uk. Use the maxResults parameter to control how many results are returned per run.

Does Reed.co.uk Jobs Feed support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Reed.co.uk Jobs Feed with other apps?

Yes. Reed.co.uk Jobs Feed works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Reed.co.uk Jobs Feed with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Reed.co.uk Jobs Feed through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape reed.co.uk?

This actor extracts publicly available data from reed.co.uk. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

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1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

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